{"id":"W2990651847","doi":"10.3390/jcm8122119","title":"Health in Preconception, Pregnancy and Postpartum Global Alliance: International Network Preconception Research Priorities for the Prevention of Maternal Obesity and Related Pregnancy and Long-Term Complications","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Medicine","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Centre for Global Health Research; Canada Research Chairs; Guelph General Hospital; Hospital for Sick Children","funders":"National Institute of General Medical Sciences; National Health and Medical Research Council; National Institute for Health and Care Research","keywords":"Medicine; Pregnancy; Psychosocial; Delphi method; Context (archaeology); Public health; Family medicine; Nursing; Environmental health; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08813024,0.000787416,0.0005753948,0.002345153,0.003347476,0.005945368,0.00196366,0.003986357,0.006060156],"category_scores_gemma":[0.03504987,0.000555911,0.0008724965,0.002177251,0.002866177,0.004384022,0.01609463,0.007524185,0.001119249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007181082,"about_ca_system_score_gemma":0.0850328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005662313,"about_ca_topic_score_gemma":0.009434636,"domain_scores_codex":[0.9721112,0.02012534,0.001595196,0.0009879305,0.00272487,0.002455419],"domain_scores_gemma":[0.9604222,0.01221072,0.002973144,0.002583581,0.007624253,0.01418616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004421589,0.000985354,0.03180448,0.005853307,0.0001653101,0.0009403855,0.04273394,0.001470764,0.002861551,0.1129366,0.173706,0.6261002],"study_design_scores_gemma":[0.0001734105,0.0007428038,0.03776493,0.008275997,0.0001064111,0.0007580577,0.04168352,0.0007308498,0.001412914,0.03996354,0.8682672,0.0001204089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03484691,0.03187753,0.03272287,0.7643141,0.01093912,0.005240801,0.001167335,0.0002971023,0.1185943],"genre_scores_gemma":[0.4584971,0.0543175,0.2610172,0.1479637,0.004141996,0.01740211,0.004737976,0.0003888552,0.05153354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08813024,"threshold_uncertainty_score":0.4660829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127028590758414,"score_gpt":0.488149408953408,"score_spread":0.3754465498775666,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}